R Programming
  • The wikipedia of R by me
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    • -What is R & RStudio
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    • -Dealing with Dates
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    • -Dealing with Factors
  • R data
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      • --Basics
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    • -Functions
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    • -01-introduction
    • -02-data preparation
    • -03-data transformation
    • -04-visualization
  • R programming track
    • -a-Introduction to R
      • --1-Intro to basics
      • --2-Vectors
      • --3-Matrices
      • --4-Factors
      • --5-Data frames
      • --6-Lists
    • -b-Intermediate R
      • --1-Conditionals and Control Flow
      • --2-Loops
      • --3-Functions
      • --4-The apply family
      • --5-Utilities
    • -d-Writing Functions in R
      • --1-A quick refresher
      • --2-When and how you should write a function
      • --3-Functional programming
      • --4-Advanced inputs and outputs
      • --5-Robust functions
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    • #R introduction
    • #Elementary Statistics with R
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  • Statistik-3
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  • Descriptive Analytics
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  • R Graphics Cookbook
    • ggplot2 intro
    • ggplot2 custome
    • ggplot top-50
  • #Exploratory Data Analysis
    • -Data Summary
    • -Checklist Solution
  • #Data Mining
    • Untitled
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  • #Machine Learning
    • Intro to ML
    • Intro alghorithms
    • 1. Supervised Learning
  • Master R for Data Science
    • Learning R
    • Untitled
    • Untitled
  • Data Science Projects
    • Simple linear regression:
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Intro to ML

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https://machinelearningmastery.com/start-here/

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